Francisco Escudero Gutiérrez

According to our database, Francisco Escudero Gutiérrez authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Certifying and learning local quantum Hamiltonians.

Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez, Junseo Lee, Aadil Oufkir, Cambyse Rouzé, Myeongjin Shin

CoRR, March, 2026

2025

Certifying and learning quantum Ising Hamiltonians.

Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez, Aadil Oufkir, Cambyse Rouzé

CoRR, September, 2025

Nearly optimal algorithms to learn sparse quantum Hamiltonians in physically motivated distances.

Amira Abbas, Nunzia Cerrato, Francisco Escudero Gutiérrez, Dmitry Grinko, Francesco Anna Mele, Pulkit Sinha

CoRR, September, 2025

Testing and Learning Structured Quantum Hamiltonians.

Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

2024

Grothendieck inequalities characterize converses to the polynomial method.

Jop Briët, Francisco Escudero Gutiérrez, Sander Gribling

Quantum, 2024

Learning junta distributions and quantum junta states, and QAC⁰ circuits.

Francisco Escudero Gutiérrez

CoRR, 2024

All S^p notions of quantum expansion are equivalent.

Francisco Escudero Gutiérrez, Garazi Muguruza

CoRR, 2024

Simple algorithms to test and learn local Hamiltonians.

Francisco Escudero Gutiérrez

CoRR, 2024

Learning Low-Degree Quantum Objects.

Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez, Carlos Palazuelos

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

2023

Influences of Fourier Completely Bounded Polynomials and Classical Simulation of Quantum Algorithms.

Francisco Escudero Gutiérrez

CoRR, 2023

2022

On Converses to the Polynomial Method.

Jop Briët, Francisco Escudero Gutiérrez

Proceedings of the 17th Conference on the Theory of Quantum Computation, 2022